Issues in the Analysis of Complex Sample Survey Data (Online)

This course will be offered via Zoom only. However, this course will not be recorded.

This online two-day (2/15 and 2/17) short course will provide participants with an introductory overview of issues frequently encountered when conducting secondary analyses of survey data collected from samples with complex multi-stage designs (e.g., PSID, NHANES, NHIS, HRS), including design-based inference, software tools, and proper analysis methods. The workshop is not intended for participants looking to design a survey, but rather for participants who have a desire to analyze complex sample survey data.
Topics:
• Recognizing a sample with a complex design, and sampling error calculation models
• Calculation of survey weights based on sample designs / non-response / post-stratification
• Design Effects
• Subgroup analysis
• Weighted vs. unweighted analyses
• Variance estimation, and calculation of correct confidence intervals for population parameters
• Hypothesis Testing based on sample estimates
• Software packages capable of complex sample survey data analysis
• Common analysis methods (linear modeling, descriptive statistics), and interpretation of results
• Using weights in regression modeling, and model-based approaches
• Examples using software programs to analyze real survey data
 

Instructor: Brady West

Instructor Bio:
Brady T. West is a Research Associate Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research (ISR) on the University of Michigan-Ann Arbor campus. He also serves as a Statistical Consultant on the University of Michigan Consulting for Statistics, Computing, and Analytics Research (CSCAR) Team. He earned in his PhD from the Michigan Program in Survey Methodology in 2011. Before that, he received an MA in Applied Statistics from the U-M Statistics Department in 2002, being recognized as an Outstanding First-year Applied Masters student, and a BS in Statistics with Highest Honors and Highest Distinction from the U-M Statistics Department in 2001. His current research interests include the implications of measurement error in auxiliary variables and survey paradata for survey estimation, survey nonresponse, interviewer variance, and multilevel regression models for clustered and longitudinal data. He is the lead author of a book comparing different statistical software packages in terms of their mixed-effects modeling procedures, now in its second edition (Linear Mixed Models: A Practical Guide using Statistical Software, Second Edition, Chapman Hall/CRC Press, 2014), and he is a co-author of Applied Survey Data Analysis, also now it its second edition.

This course will count as 7.0 CSS Short Course credit hours.

Registration Fees:
– CSS Students – $40
– UNC-CH Students – $65
– UNC-CH Faculty/Staff/Postdoc/Others – $90

Register Here

This class will be offered via Zoom ONLY. Registration closes at 12:01am on 2/12/2021. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!

* Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.

* Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.